5860 search results - page 98 / 1172 » Learning and Domain Adaptation |
132
Voted
AIPS
2007
15 years 7 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
138
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
131
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
124
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CONTEXT
2001
Springer
15 years 9 months ago
2001
Springer
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
151
Voted
ECTEL
2008
Springer
2008
Springer
Bridging the Gap between Practitioners and E-Learning Standards: A Domain-Specific Modeling Approach
15 years 6 months ago
Developing a learning design using IMS Learning Design (LD) is difficult for average practitioners because a high overhead of pedagogical knowledge and technical knowledge is requi...